Email and inbox work
Classify approved messages, extract required details, collect attachments, connect messages to business records, identify missing information, prepare drafts, and route exceptions to a person.
Bounded AI Agent Pilot
You do not need to restructure your entire business before testing whether AI can perform one valuable task.
StructuredLayer designs a bounded pilot around one repetitive activity, a limited set of approved information, defined tools, measurable test cases, and explicit human authority. The result gives your business evidence before it commits to a larger implementation.
Operating brief
Starting point
One repetitive task with a named business owner and a measurable result.
Pilot boundary
Limited context, systems, permissions, actions, cost, testing, and escalation.
Final decision
Stop, retain human assistance, automate a bounded portion, or proceed toward production implementation.
You do not need to choose OpenAI, Anthropic, Gemini, Grok, a coding agent, an automation platform, a vector database, an API, or a browser technology.
Explain how the task works today, which information your team uses, what output is required, what regularly goes wrong, and what a person must approve.
StructuredLayer determines the minimum approved context, records, tools, instructions, controls, evaluation evidence, monitoring, and recovery path needed to test the task responsibly.
Test areas
A pilot can examine a narrow task involving voice, email, documents, research, data, browser activity, software tools, media generation, reporting, or connected business records.
Classify approved messages, extract required details, collect attachments, connect messages to business records, identify missing information, prepare drafts, and route exceptions to a person.
Classify files, identify versions, extract agreed fields, compare revisions, find missing items, prepare summaries, and retain source references.
Collect permitted information from approved websites, databases, documents, APIs, or search tools; connect findings to the correct record; cite sources; and expose uncertainty.
Handle a defined call purpose, collect structured information, prepare call notes, identify unsupported requests, and transfer the conversation when human involvement is required.
Navigate an authorised website, apply approved filters, retrieve permitted information, download approved files, detect changed records, and place failures into a review queue.
Prepare status summaries, exception reports, project briefs, review packs, or management commentary from approved records and source material.
Extract requirements, match approved team profiles and project evidence, prepare drafts from controlled templates, and route the result for review before issue.
Generate or transform approved images, video, audio, captions, translations, preliminary 3D assets, or branded content through specialist model APIs.
Use approved coding systems to prepare connectors, transformations, tests, dashboards, monitored scripts, and controlled software changes.
A business may test one agent before rebuilding its entire data environment. The pilot instead uses a narrow context package containing only the information required for the approved task.
The pilot should also reveal which missing identifiers, records, permissions, workflow rules, or source-authority decisions would prevent dependable production use.
For example, an email-intake pilot may use
Pilot process
The pilot narrows the task before connecting tools, evaluates normal and failed work, and finishes with a decision rather than an assumption.
Identify what starts the task, the required output, the current manual process, the responsible owner, and the measurable business result.
Confirm permitted information, systems, tools, users, actions, providers, retention, security requirements, and prohibited activities.
Select authorised historical examples covering normal work, missing information, conflicting sources, unusual cases, failures, and required escalation.
Create only the fields, identifiers, references, instructions, and access controls required to test the approved task.
Connect the approved models, APIs, documents, inboxes, databases, or browser tools and establish human review gates.
Measure quality, accepted outputs, corrections, review effort, processing time, cost, failures, and unsupported cases.
Provide the evidence and recommendation required to stop, retain assistance, automate part of the task, or proceed toward production.
A successful technical demonstration does not automatically establish production readiness. The pilot must also show that the task can be monitored, corrected, stopped, recovered, and owned.
The agent may read, classify, extract, compare, draft, recommend, or prepare an update within its approved boundary.
A responsible person should retain authority over consequential actions such as:
Pilot investment
$6,500-$12,500 USD
Typical duration: 2-4 weeks
The final price depends on the number and condition of sources, document variation, system restrictions, browser requirements, provider costs, security review, test volume, evaluation requirements, and required dashboard or interface.
Software subscriptions, model usage, API charges, hosting, storage, specialist services, and approved third-party costs remain visible and client-approved.
The written proposal defines the actual scope, price, schedule, responsibilities, exclusions, acceptance conditions, ownership, and stabilization boundary.
Client deliverables
The pilot closes with inspectable evidence, operating boundaries, client-owned outputs, and a documented production decision.
Decision outcomes
Stopping, retaining assistance, automating a bounded portion, and proceeding toward production are all valid evidence-led decisions.
The task is unsuitable, unsafe, too uncertain, or uneconomical. The client receives the evidence supporting that decision.
AI prepares information or drafts, while a person completes and approves the work.
Reliable steps proceed automatically while unusual, uncertain, sensitive, or consequential cases go to people.
The evidence supports a separately approved Single Workflow or Complete Operating Layer implementation.
The intended approach is client ownership of the approved pilot environment, operating records, configuration, evaluation evidence, documentation, and outputs where the selected platforms and signed agreement permit.
Temporary access is removed or revised when the pilot ends. Credentials are transferred or rotated through approved methods. Ongoing operation, monitoring, model changes, provider changes, and maintenance are separately agreed.
Frequently asked questions
Describe one repetitive task, the information it uses, the result your team needs, and the decisions that must remain with people.
StructuredLayer will review whether the task appears suitable for a bounded pilot, requires a formal Blueprint, should remain assistive, or is not currently appropriate for automation.